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Abstract Number: abs#1225 

Morphometric method for description of ticks of the genus 
Hyalomma (Acari: Ixodidae): І. Hyalomma anatolicum Koch, 

A. Hosseini 1 , A. Dalimi l , M. Abdigoudarzi 2 

1 Medical Parasitology & Entomology, Tarbiat Modares University, Tehran, Iran 

2 Arthropods Laboratory, Rati Vaccine & Serum Research institute,, Tehran, Iran 

Objective: The species hard tick, Hyalomma anatolicum is a vector of the important pathogen 
agents of both animals and human. This species is the most abundant Hyalomma tick in its 
geographical zone ‎ . Hyalomma anatolicum is a vector of thileriosis and Crimean Congo 
Hemorrhagic Fever (CCHF), an animal protozoan and human viral diseases respectively, in Iran 
and is ‎ widely distributed throughout in this country. Some taxonomic characters on this 
species was introduced ‎ but not measured. ‎ The purpose of the present 
investigation was to identify valuable discriminating characters for ‎ male specimens of 
Hyalomma anatolicum with the other closely related species by morphometric ‎ methods. 
Material and Methods: Firstly, the collected tick specimens ‎ were identified by several 
Hyalommas identification keys as Hyalomma anatolicum. Totally, nine and three quantitative 
and qualitative parameters, respectively, was measured. The data measurements were analyzed 
using SPSS for windows and finally the specimens were drawn by the aid of a drawing tube. 
Results: The one way ANOVA test is revealed the presence of significance difference between 
many quantitative parameters, except lateral groove/scutumal length ratio , also all studied 
regions. The observation of the qualitative parameters shown presence and absence of these 
characters in all specimens studied. 

Conclusion: The amplitude and quantity of morphologic parameters of Hyalomma anatolicum 
suggested that should be considered for correct identification and key preparation of this species 
in further studies. 

Keywords: Hyalomma anatolicum , Iran, Morphometric study, Quantitative parameters, 
Qualitative parameters, Variation. 

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